[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-183581-105":59,"doc-detail-183581-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","digital-audio-watermarking-techniques-comprehensive-analysis-of-audio-attacks","Digital Audio Watermarking Techniques: Comprehensive Analysis of Audio Attacks","","This document presents a comprehensive analysis of various audio attacks on digital audio watermarking techniques. It details the Bit Error Rate (BER) performance of different attack types across multiple audio genres, including Host, Jazz, and Rock. The analysis covers attacks such as Low-Pass Filtering (LPF), Band-Pass Filtering (BPF), Resampling, Linear Speed Change, and MP3 Compression, with specific filter frequencies and bitrates provided for each. The data is presented in tabular format to facilitate comparison and understanding of the robustness of watermarking methods against these audio manipulations. The document also includes a summary table comparing an average BER across different parameters for Host, Jazz, and Rock, aiming to provide insights into the effectiveness of watermark embedding and extraction under varied conditions, crucial for developing resilient audio watermarking systems.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/digital-audio-watermarking-techniques-comprehensive-analysis-of-audio-attacks/183581/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/digital-audio-watermarking-techniques-comprehensive-analysis-of-audio-attacks/183581.png","ImageObject",300,407,{"name":92,"@type":93},"Mali","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-19","2026-09-02",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What are the main types of audio attacks analyzed in this document?","Question",{"text":113,"@type":114},"The document analyzes several audio attacks including Low-Pass Filtering (LPF), Band-Pass Filtering (BPF), Resampling, Linear Speed Change, and MP3 Compression.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the Bit Error Rate (BER) vary across different audio genres (Host, Jazz, Rock) for these attacks?",{"text":118,"@type":114},"The BER varies significantly across genres for different attacks. For instance, under MP3 Compression at 128k, the BER is 0.02 for Host, 0.03 for Jazz, and 0.29 for Rock, indicating differing susceptibilities.",{"name":120,"@type":111,"acceptedAnswer":121},"What is the purpose of analyzing these audio attacks in the context of digital audio watermarking?",{"text":122,"@type":114},"Analyzing these attacks helps in understanding the robustness of digital audio watermarking techniques. By measuring the Bit Error Rate (BER) under various manipulations, researchers and developers can improve watermark embedding and extraction algorithms to ensure watermarks remain intact and detectable.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},183581,1790004258,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146},2336475104362,"https://ap-avatar.wpscdn.com/avatar/22000c4c46a41b752dd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786595829695023868","| Attack ~~ ~~ | Type | BER |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | Host |  | Jazz | Rock |\n| LPF | 3k | 0.03 |  | 0.20 | 0.06 |\n|  | 6k | 0.00 |  | 0.05 | 0.00 |\n|  | 9k | 0.01 |  | 0.02 | 0.00 |\n| BPF | 100-6k | 0.44 |  | 0.51 | 0.51 |\n|  | 50-6k | 0.50 |  | 0.48 | 0.51 |\n|  | 25-6k | 0.21 |  | 0.32 | 0.51 |\n| Resampling | 22.05k | 0.00 |  | 0.05 | 0.00 |\n|  | 11.02k | 0.02 |  | 0.00 | 0.00 |\n|  | 16k | 0.01 |  | 0.27 | 0.00 |\n| Linear Speed Change | 1% | 0.01 |  | 0.04 | 0.00 |\n|  | 5% | 0.02 |  | 0.07 | 0.00 |\n|  | 10% | 0.03 |  | 0.04 | 0.00 |\n| Mp3 Compression | 32k | 0.43 |  | 0.51 | 0.53 |\n|  | 64k | 0.46 |  | 0.08 | 0.04 |\n|  | 128k | 0.02 |  | 0.03 | 0.29 |\n|  | 192k | 0.02 |  | 0.02 | 0.01 |\n| Average |  |  | 0.14 | 0.17 | 0.15 |\n\n\n| Host | Parameter | N | NFrame | nbit | Average\u003Cbr>BER |\n| --- | --- | --- | --- | --- | --- |\n| Host | 1 | 3 | 1024 | 4 | 0.218 |\n| Jazz | 2 | 1 | 1024 | 4 | 0.221 |\n| Rock | 3 | 2 | 1024 | 4 | 0.217 |\n\n\n| Attack ~~ ~~ | Type | BER |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | Host |  | Jazz | Rock |\n| LPF | 3k | 0.00 |  | 0.02 | 0.00 |\n|  | 6k | 0.02 |  | 0.02 | 0.00 |\n|  | 9k | 0.02 |  | 0.02 | 0.00 |\n| BPF | 100-6k | 0.39 |  | 0.46 | 0.47 |\n|  | 50-6k | 0.15 |  | 0.17 | 0.38 |\n|  | 25-6k | 0.09 |  | 0.07 | 0.09 |\n| Resampling | 22.05k | 0.00 |  | 0.04 | 0.00 |\n|  | 11.02k | 0.02 |  | 0.04 | 0.00 |\n|  | 16k | 0.02 |  | 0.01 | 0.00 |\n| Linear Speed Change | 1% | 0.01 |  | 0.00 | 0.00 |\n|  | 5% | 0.01 |  | 0.05 | 0.00 |\n|  | 10% | 0.00 |  | 0.05 | 0.00 |\n| Mp3 Compression | 32k | 0.16 |  | 0.11 | 0.23 |\n|  | 64k | 0.08 |  | 0.05 | 0.06 |\n|  | 128k | 0.01 |  | 0.02 | 0.02 |\n|  | 192k | 0.01 |  | 0.04 | 0.00 |\n| Average |  |  | 0.06 | 0.07 | 0.08 |","cbCaidaEdwd6R5qt","https://ap.wps.com/l/cbCaidaEdwd6R5qt","pdf",1019572,14,"English","# Audio Attacks and BER Analysis\n## Lower Pass Filter (LPF)\n## Band Pass Filter (BPF)\n## Resampling\n## Linear Speed Change\n## MP3 Compression\n## Comparative Analysis Across Genres","[{\"question\":\"What are the main types of audio attacks analyzed in this document?\",\"answer\":\"The document analyzes several audio attacks including Low-Pass Filtering (LPF), Band-Pass Filtering (BPF), Resampling, Linear Speed Change, and MP3 Compression.\"},{\"question\":\"How does the Bit Error Rate (BER) vary across different audio genres (Host, Jazz, Rock) for these attacks?\",\"answer\":\"The BER varies significantly across genres for different attacks. For instance, under MP3 Compression at 128k, the BER is 0.02 for Host, 0.03 for Jazz, and 0.29 for Rock, indicating differing susceptibilities.\"},{\"question\":\"What is the purpose of analyzing these audio attacks in the context of digital audio watermarking?\",\"answer\":\"Analyzing these attacks helps in understanding the robustness of digital audio watermarking techniques. By measuring the Bit Error Rate (BER) under various manipulations, researchers and developers can improve watermark embedding and extraction algorithms to ensure watermarks remain intact and detectable.\"}]","Digital Audio Watermarking Techniques: Comprehensive Analysis of Audio Attacks | PDF",1788353248,35]